Triple

T23287578
Position Surface form Disambiguated ID Type / Status
Subject Province of Arequipa E589930 entity
Predicate contains P35 FINISHED
Object Paucarpata District NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paucarpata District | Statement: [Province of Arequipa, contains, Paucarpata District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paucarpata District
Context triple: [Province of Arequipa, contains, Paucarpata District]
  • A. Paucarpata District chosen
    Paucarpata District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano.
  • B. Tapolca District
    Tapolca District is an administrative district in western Hungary, centered on the town of Tapolca and known for its scenic landscapes near Lake Balaton.
  • C. Semily District
    Semily District is an administrative district in the Liberec Region of the Czech Republic, known for its picturesque landscapes, including parts of the Bohemian Paradise protected area.
  • D. Marzoll district
    Marzoll district is a locality within the spa town of Bad Reichenhall in Bavaria, Germany, known for its scenic Alpine setting near the Austrian border.
  • E. Butebo District
    Butebo District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19648842c81909756be4bc06b3a45 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5 p.m.